



'''simple docstring'''


from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros







def   SCREAMING_SNAKE_CASE					(					lowercase_     :   Dict			,	lowercase_     :   Dict    ):
						lowercase   =				k_size // 2
						lowercase  , lowercase   =				mgrid[0 - center : k_size - center, 0 - center : k_size - center]
						lowercase   =				1 / (2 * pi * sigma) * exp(-(square(UpperCamelCase_    ) + square(UpperCamelCase_    )) / (2 * square(UpperCamelCase_    ))    )
						return g







def   SCREAMING_SNAKE_CASE					(					lowercase_     :   Any			,	lowercase_     :   Union[str, Any]			,	lowercase_     :   Any    ):
						lowercase  , lowercase   =				image.shape[0], image.shape[1]
						# dst image height and width
						lowercase   =				height - k_size + 1
						lowercase   =				width - k_size + 1

						# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
						lowercase   =				zeros((dst_height * dst_width, k_size * k_size)    )
						lowercase   =				0
						for i, j in product(range(UpperCamelCase_    )			,	range(UpperCamelCase_    )    ):
												lowercase   =				ravel(image[i : i + k_size, j : j + k_size]    )
												lowercase   =				window
												row += 1

						#  turn the kernel into shape(k*k, 1)
						lowercase   =				gen_gaussian_kernel(UpperCamelCase_			,	UpperCamelCase_    )
						lowercase   =				ravel(UpperCamelCase_    )

						# reshape and get the dst image
						lowercase   =				dot(UpperCamelCase_			,	UpperCamelCase_    ).reshape(UpperCamelCase_			,	UpperCamelCase_    ).astype(UpperCamelCase_    )

						return dst


if __name__ == "__main__":
						# read original image
						lowercase_   :					Any        =     imread(r'''../image_data/lena.jpg''')
						# turn image in gray scale value
						lowercase_   :					Optional[Any]        =     cvtColor(img, COLOR_BGR2GRAY)

						# get values with two different mask size
						lowercase_   :					List[str]        =     gaussian_filter(gray, 3, sigma=1)
						lowercase_   :					int        =     gaussian_filter(gray, 5, sigma=0.8)

						# show result images
						imshow('''gaussian filter with 3x3 mask''', gaussianaxa)
						imshow('''gaussian filter with 5x5 mask''', gaussianaxa)
						waitKey()



from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_SCREAMING_SNAKE_CASE 		=      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE 		=      {
    """sail/poolformer_s12""": """https://huggingface.co/sail/poolformer_s12/resolve/main/config.json""",
    # See all PoolFormer models at https://huggingface.co/models?filter=poolformer
}
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				"""poolformer"""







   def __init__(     self						:						str   ,   lowerCamelCase_						:						Any=3   ,   lowerCamelCase_						:						Any=16   ,   lowerCamelCase_						:						Any=16   ,   lowerCamelCase_						:						Optional[Any]=3   ,   lowerCamelCase_						:						List[str]=4.0   ,   lowerCamelCase_						:						Tuple=[2, 2, 6, 2]   ,   lowerCamelCase_						:						Optional[Any]=[64, 128, 320, 512]   ,   lowerCamelCase_						:						Tuple=[7, 3, 3, 3]   ,   lowerCamelCase_						:						Optional[Any]=[4, 2, 2, 2]   ,   lowerCamelCase_						:						Dict=[2, 1, 1, 1]   ,   lowerCamelCase_						:						Tuple=4   ,   lowerCamelCase_						:						Optional[int]=0.0   ,   lowerCamelCase_						:						Union[str, Any]="gelu"   ,   lowerCamelCase_						:						Union[str, Any]=True   ,   lowerCamelCase_						:						Union[str, Any]=1E-5   ,   lowerCamelCase_						:						int=0.0_2   ,   **lowerCamelCase_						:						str   ,   ):





    """simple docstring"""


    UpperCamelCase			  =      num_channels
    UpperCamelCase			  =      patch_size
    UpperCamelCase			  =      stride
    UpperCamelCase			  =      padding
    UpperCamelCase			  =      pool_size
    UpperCamelCase			  =      hidden_sizes
    UpperCamelCase			  =      mlp_ratio
    UpperCamelCase			  =      depths
    UpperCamelCase			  =      patch_sizes
    UpperCamelCase			  =      strides
    UpperCamelCase			  =      num_encoder_blocks
    UpperCamelCase			  =      drop_path_rate
    UpperCamelCase			  =      hidden_act
    UpperCamelCase			  =      use_layer_scale
    UpperCamelCase			  =      layer_scale_init_value
    UpperCamelCase			  =      initializer_range
    super().__init__(**lowerCamelCase_				)





class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):
   __lowerCAmelCase           =				version.parse("""1.11"""		)







   @property
   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    return OrderedDict(
        [
            ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
        ]				)







   @property
   def 						lowerCamelCase_	(     self						:						Any				):





    """simple docstring"""


    return 2E-3
